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The Role of Non-Native Interactions in the Folding of Knotted Proteins

Overview of attention for article published in PLoS Computational Biology, June 2012
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Title
The Role of Non-Native Interactions in the Folding of Knotted Proteins
Published in
PLoS Computational Biology, June 2012
DOI 10.1371/journal.pcbi.1002504
Pubmed ID
Authors

Tatjana Škrbić, Cristian Micheletti, Pietro Faccioli

Abstract

Stochastic simulations of coarse-grained protein models are used to investigate the propensity to form knots in early stages of protein folding. The study is carried out comparatively for two homologous carbamoyltransferases, a natively-knotted N-acetylornithine carbamoyltransferase (AOTCase) and an unknotted ornithine carbamoyltransferase (OTCase). In addition, two different sets of pairwise amino acid interactions are considered: one promoting exclusively native interactions, and the other additionally including non-native quasi-chemical and electrostatic interactions. With the former model neither protein shows a propensity to form knots. With the additional non-native interactions, knotting propensity remains negligible for the natively-unknotted OTCase while for AOTCase it is much enhanced. Analysis of the trajectories suggests that the different entanglement of the two transcarbamylases follows from the tendency of the C-terminal to point away from (for OTCase) or approach and eventually thread (for AOTCase) other regions of partly-folded protein. The analysis of the OTCase/AOTCase pair clarifies that natively-knotted proteins can spontaneously knot during early folding stages and that non-native sequence-dependent interactions are important for promoting and disfavouring early knotting events.

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Geographical breakdown

Country Count As %
Germany 1 2%
Italy 1 2%
Canada 1 2%
Peru 1 2%
United States 1 2%
Unknown 41 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Researcher 9 20%
Professor 5 11%
Professor > Associate Professor 4 9%
Student > Bachelor 3 7%
Other 7 15%
Unknown 5 11%
Readers by discipline Count As %
Physics and Astronomy 12 26%
Agricultural and Biological Sciences 10 22%
Chemistry 6 13%
Biochemistry, Genetics and Molecular Biology 5 11%
Computer Science 3 7%
Other 3 7%
Unknown 7 15%